Literature DB >> 27112300

Adaptive Processes in Thalamus and Cortex Revealed by Silencing of Primary Visual Cortex during Contrast Adaptation.

Jillian L King1, Matthew P Lowe1, Kurt R Stover1, Aimee A Wong1, Nathan A Crowder2.   

Abstract

Visual adaptation illusions indicate that our perception is influenced not only by the current stimulus but also by what we have seen in the recent past. Adaptation to stimulus contrast (the relative luminance created by edges or contours in a scene) induces the perception of the stimulus fading away and increases the contrast detection threshold in psychophysical tests [1, 2]. Neural correlates of contrast adaptation have been described throughout the visual system including the retina [3], dorsal lateral geniculate nucleus (dLGN) [4, 5], primary visual cortex (V1) [6], and parietal cortex [7]. The apparent ubiquity of adaptation at all stages raises the question of how this process cascades across brain regions [8]. Focusing on V1, adaptation could be inherited from pre-cortical stages, arise from synaptic depression at the thalamo-cortical synapse [9], or develop locally, but what is the weighting of these contributions? Because contrast adaptation in mouse V1 is similar to classical animal models [10, 11], we took advantage of the optogenetic tools available in mice to disentangle the processes contributing to adaptation in V1. We disrupted cortical adaptation by optogenetically silencing V1 and found that adaptation measured in V1 now resembled that observed in dLGN. Thus, the majority of adaptation seen in V1 neurons arises through local activity-dependent processes, with smaller contributions from dLGN inheritance and synaptic depression at the thalamo-cortical synapse. Furthermore, modeling indicates that divisive scaling of the weakly adapted dLGN input can predict some of the emerging features of V1 adaptation.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27112300     DOI: 10.1016/j.cub.2016.03.018

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  13 in total

1.  V1 microcircuit dynamics: altered signal propagation suggests intracortical origins for adaptation in response to visual repetition.

Authors:  Jacob A Westerberg; Michele A Cox; Kacie Dougherty; Alexander Maier
Journal:  J Neurophysiol       Date:  2019-03-27       Impact factor: 2.714

Review 2.  Rapid Sensory Adaptation Redux: A Circuit Perspective.

Authors:  Clarissa J Whitmire; Garrett B Stanley
Journal:  Neuron       Date:  2016-10-19       Impact factor: 17.173

3.  Aging Affects Adaptation to Sound-Level Statistics in Human Auditory Cortex.

Authors:  Björn Herrmann; Burkhard Maess; Ingrid S Johnsrude
Journal:  J Neurosci       Date:  2018-01-22       Impact factor: 6.167

4.  Magnitude, time course, and specificity of rapid adaptation across mouse visual areas.

Authors:  Miaomiao Jin; Lindsey L Glickfeld
Journal:  J Neurophysiol       Date:  2020-06-17       Impact factor: 2.714

5.  Feedforward mechanisms of cross-orientation interactions in mouse V1.

Authors:  Dylan Barbera; Nicholas J Priebe; Lindsey L Glickfeld
Journal:  Neuron       Date:  2021-11-03       Impact factor: 17.173

6.  Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN.

Authors:  Davide Crombie; Yannik Bauer; Gregory Born; Martin A Spacek; Xinyu Liu; Steffen Katzner; Laura Busse
Journal:  Elife       Date:  2022-03-22       Impact factor: 8.713

7.  Stimulus relevance modulates contrast adaptation in visual cortex.

Authors:  Andreas J Keller; Rachael Houlton; Björn M Kampa; Nicholas A Lesica; Thomas D Mrsic-Flogel; Georg B Keller; Fritjof Helmchen
Journal:  Elife       Date:  2017-01-28       Impact factor: 8.140

Review 8.  Adaptation in the visual cortex: a case for probing neuronal populations with natural stimuli.

Authors:  Michoel Snow; Ruben Coen-Cagli; Odelia Schwartz
Journal:  F1000Res       Date:  2017-07-27

9.  Spatial Frequency Selectivity Is Impaired in Dopamine D2 Receptor Knockout Mice.

Authors:  Bruno Oliveira Ferreira Souza; Mira Abou Rjeili; Clémentine Quintana; Jean M Beaulieu; Christian Casanova
Journal:  Front Integr Neurosci       Date:  2018-01-15

10.  Firing-rate based network modeling of the dLGN circuit: Effects of cortical feedback on spatiotemporal response properties of relay cells.

Authors:  Milad Hobbi Mobarhan; Geir Halnes; Pablo Martínez-Cañada; Torkel Hafting; Marianne Fyhn; Gaute T Einevoll
Journal:  PLoS Comput Biol       Date:  2018-05-17       Impact factor: 4.475

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